Monitoring of IoT Systems at the Edges with Transformer-based Graph Convolutional Neural Networks-Reference-Cited by-同舟云学术

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Monitoring of IoT Systems at the Edges with Transformer-based Graph Convolutional Neural Networks

Published:2022-07 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Edge Computing and Communications (EDGE)
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Author:

Ba Amadou¹,Lorenzi Fabio¹,Ploennigs Joern¹

Affiliation:

1. IBM Research Europe,Dublin,Ireland

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9860271/9859568/09860328.pdf?arnumber=9860328

Reference39 articles.

1. Capturing Industrial Information Models with Ontologies and Constraints

2. Time2Vec: Learning a vector representation of time;kazemi,2019

3. The Future of IoT

4. Deep transformer models for time series forecasting: The influenza prevalence case;wu,2020

5. Graph neural network-based anomaly detection in multivariate time series;deng;AAAI,2021

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Efficient Extraction of Insights at the Edges of Distributed Systems;2023 IEEE International Conference on Big Data (BigData);2023-12-15

2. NebulOuS: A Meta-Operating System with Cloud Continuum Brokerage Capabilities;2023 Eighth International Conference on Fog and Mobile Edge Computing (FMEC);2023-09-18

3. Automated Configuration of Heterogeneous Graph Neural Networks With a Semantic Math Parser for IoT Systems;IEEE Internet of Things Journal;2023-01-15

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